Extra: Venue 7 electrics

If you see a straight line, it’s interpolated missing data. Try the sliders to see detail!

import plotly.graph_objects as go

import pandas as pd
df = pd.read_csv("venue-7-clampon-data.csv")
df["timestamp"] = pd.to_datetime(df['created_at'])
df = df.fillna('')

phase1trace = go.Scatter(customdata=df, 
                    y=df['field1'], 
                    x = df['timestamp'], 
                    mode='lines', 
                    hoverinfo='all', 
                    name='phase 1',
                    )

phase2trace = go.Scatter(customdata=df, 
                    y=df['field2'], 
                    x = df['timestamp'], 
                    mode='lines', 
                    hoverinfo='all', 
                    name='phase 2',
                    )
phase3trace = go.Scatter(customdata=df, 
                    y=df['field3'], 
                    x = df['timestamp'], 
                    mode='lines', 
                    hoverinfo='all', 
                    name='phase 3',
                    )

g = go.FigureWidget(data=[phase1trace,phase2trace,phase3trace])
g.layout.title = 'CurrentCost clamp-on meter readings'
g.layout.xaxis.title= 'timestamp'
g.layout.yaxis.title = "Watts"
g.layout.width = 1000
g.layout.height = 500

fig = go.Figure(g)

fig.update_layout(
    hovermode='x unified',
    hoverlabel=dict(
        bgcolor="white",
        # font_size=16,
        font_family="Rockwell"
    )
)

# Add range slider
fig.update_layout(
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(
                     label="All",
                     step="all"
                     ),
                                dict(count=1,
                     label="Hour",
                     step="hour",
                     stepmode="todate"),
                dict(count=1,
                     label="Day",
                     step="day",
                     stepmode="backward"),
                dict(count=7,
                     label="Week",
                     step="day",
                     stepmode="backward"),
                dict(count=1,
                     label="Year",
                     step="year",
                     stepmode="backward")
            ])
        ),
        rangeslider=dict(
            visible=True,
        ),
        type="date"
    )
)


# fig.update_yaxes(range=[50, 60])  



# fig.update_yaxes(range = [-5, dfCollatedDataSet['temperature'].max()+5])

fig.show()

# second figure 

sumtrace = go.Scatter(customdata=df, 
                    y=df['field1'] + df['field2'] + df['field3'], 
                    x = df['timestamp'], 
                    mode='lines', 
                    hoverinfo='all', 
                    name='sum of three phases',
                    )

g2 = go.FigureWidget(data=[sumtrace])
g2.layout.title = 'CurrentCost clamp-on meter readings - simple sum of phases'
g2.layout.xaxis.title= 'timestamp'
g2.layout.yaxis.title = "Watts"
g2.layout.width = 1000
g2.layout.height = 500

fig2 = go.Figure(g2)

fig2.update_layout(
    hovermode='x unified',
    hoverlabel=dict(
        bgcolor="white",
        # font_size=16,
        font_family="Rockwell"
    )
)

# Add range slider
fig2.update_layout(
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(
                     label="All",
                     step="all"
                     ),
                                dict(count=1,
                     label="Hour",
                     step="hour",
                     stepmode="todate"),
                dict(count=1,
                     label="Day",
                     step="day",
                     stepmode="backward"),
                dict(count=7,
                     label="Week",
                     step="day",
                     stepmode="backward"),
                dict(count=1,
                     label="Year",
                     step="year",
                     stepmode="backward")
            ])
        ),
        rangeslider=dict(
            visible=True,
        ),
        type="date"
    )
)


fig2.show()

It’s complicated to know how much electricity is drawn from the three phases of a meter - it’s not just a case of adding the three phases up. But this will give some idea.